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Oleno for Digital Marketing

Make every channel sound like the same company.

A search ad has a character limit. A landing page has room to explain. A video needs something you can show. Use Oleno's positioning, product facts, buyer context and brand resources to adapt the message for each format in your production tools.

How it works in your tools

Company strategy in Oleno

The positioning, product details, buyer knowledge and evidence your team maintains.

Permissioned MCP retrieval

Work in your AI tools

Ask your compatible AI tool to retrieve the company information it needs, then use it to plan, create and review the assignment.

Team review

Example workflow: your connected AI tool requests the relevant information. Your team checks the work it creates.

The ad got shorter. The promise got bigger.

A qualifier disappears to make the ad fit. A visual suggests a result the copy never claims. The landing page has the detail, but the buyer saw the ad first. Keep the product limits and evidence in the creative brief, then check what each finished format actually says and shows.

Work through a real assignment

What this looks like for digital marketing

Bring the brief, research and source material for your project. These workflows show which company records to request, what to ask your connected AI tool to make and where to review the result. The tool needs the supported connections and permissions for the job.

01Example workflow

Develop paid-search ad variants

When a new ad group needs several useful angles within the platform's limits.

Bring your own inputs

Bring the actual search terms, campaign objective and current character limits from the ad platform.

How MCP access works
Ask Oleno for the relevant context

Retrieve the value proposition, buyer language, product limits, evidence and voice guidance relevant to the ads.

Connection details
marketingpersonasproduct_featuresbrandstories

These are real Oleno read_governance sections. In your connected AI client, ask it to retrieve them before it starts writing.

Example request to your AI toolChatGPT or Claude
Pull Oleno's current positioning, target persona, product claims and brand voice. Using these search terms and character limits, draft four Google Ads variants with distinct buyer angles and matching landing-page headlines. Every claim must trace to a real feature or approved proof. Don't claim ad performance or policy approval.

What you make

Ad variants with matching landing-page headlines, ready for review in the paid-search workflow.

What you review

Check character counts, platform policies, destination match and claim accuracy. Measure performance in the ads account.

02Example workflow

Brief a LinkedIn creative test

Before design begins, when you need to decide which ideas deserve a creative test.

Bring your own inputs

Provide the objective, target account context and actual brand assets cleared for the intended use.

How MCP access works
Ask Oleno for the relevant context

Use buyer concerns, your market point of view, supporting evidence and visual and voice guidance.

Connection details
marketingpersonasbuyer_enablementstoriesbrand

These are real Oleno read_governance sections. In your connected AI client, ask it to retrieve them before it starts writing.

Example request to your AI toolClaude, ChatGPT or an external design tool
Read the current Oleno marketing point of view, buyer objections, approved stories and brand guidance. Suggest three creative concepts for this LinkedIn audience: a useful hook, the single idea the visual should communicate, supporting copy and what proof we can show. Keep each concept distinct and indicate what requires design or legal approval.

What you make

Distinct creative briefs and supporting copy for the team's design or video tools.

What you review

Approve the claims, customer references, logo rights and finished creative before launching the test.

03Example workflow

Audit an entire campaign's message

When the email, ads, landing page and social post are ready to be seen together.

Bring your own inputs

Attach the current versions and explain the job of each channel.

How MCP access works
Ask Oleno for the relevant context

Retrieve the positioning, product limits, key messages and audience language that should hold across the campaign.

Connection details
marketingproductsproduct_featuresbrandaudiences

These are real Oleno read_governance sections. In your connected AI client, ask it to retrieve them before it starts writing.

Example request to your AI toolClaude or ChatGPT
Retrieve our current Oleno marketing, product and brand guidance. Compare these campaign assets for a shared promise: target buyer, product outcome, differentiator and evidence. Flag conflicting claims, mismatched calls to action and language drift. Recommend specific edits by asset owner rather than rewriting every channel to sound identical.

What you make

A cross-channel review with specific proposed edits for each owner, while preserving the formats' different jobs.

What you review

Have channel owners apply and approve the changes in their own tools. Retrieving Oleno context does not automatically check or update external assets.

The decisions stay with your team

You own the channel choices, platform policies, budget and results. Oleno holds the marketing context and resources your team uses. Your external tools create, publish and measure the assets, using the connections and permissions available to them.

The promise got bigger when the ad got shorter.

Check the product limits and evidence before trimming the claim to fit.